AI deployment
We help businesses deploy AI in everyday workflows, from defining the use case to integrating systems and supporting adoption.
Where we can help
These are examples of workflows we can discuss with you. The suitability and scope of a project are assessed against your systems, data and requirements.
Document workflows
Explore AI-assisted intake, checking, reconciliation and reporting within an existing process.
Knowledge assistants
Help customers or staff find answers grounded in your own knowledge and business rules.
Internal copilots
Bring information from agreed company systems into a workflow your teams can use.
AI in your product
Integrate model access into existing product features, with clear usage and access requirements.
How a project develops
Define
Agree the use case, business objective, dependencies and acceptance criteria.
Pilot
Evaluate a scoped pilot against the agreed cases and data.
Deploy
Integrate the agreed workflow with the required systems and permissions.
Adopt
Support handover, user guidance and the agreed next steps after deployment.
Scope and delivery
Your proposal sets out the deliverables, responsibilities, dependencies and approach to acceptance. These may include a working pilot, workflow integrations, access configuration, user guidance and handover documentation, depending on the project.
Fees, milestones and any ongoing support are agreed in writing. Changes to the scope are discussed before additional work begins.
Working with your systems and data
Access requirements, third-party services and data handling are considered as part of the project scope. Confidential work can be covered by an NDA agreed for the engagement. Read about our security and data handling approach.